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This learning pathway is aimed at SAS Programmers.
You should already have:
For the hands-on practice activities in the course, you will need access to an environment that runs Python. On our course we signpost you to Anaconda, a free open source platform, to run Python via Jupyter Notebook.
Anaconda must have a suitable operating platform installed:
Full system requirements can be found here.
By the end of this pathway you will be able to:
This learning pathway will give you a solid understanding of the Python building blocks from which to progress on to Python programming.
There are mini quizzes and comprehensive exercises throughout to help assess and reinforce your learning.
Introduction to Python
Learning Objective: Explain the history of Python.
By the end of this module you will be able to:
Jupyter Notebooks
Learning Objective: Explain what an Integrated Development Environment is and describe how use Jupyter Notebook.
By the end of this module you will be able to:
Python Syntax
Learning Objective: Describe the basic concepts of Python syntax.
By the end of this module you will be able to:
Python Variables
Learning Objective: Describe variable naming conventions, storage concepts and data types used in Python.
By the end of this module you will be able to:
Everything is Data
Learning Objective: Explain what data objects are and how they relate to a class.
By the end of this module you will be able to:
Help Functions
Learning Objective: Know where and how to access help in Python
By the end of this module you will be able to: